Suppr超能文献

躯体性疼痛患者的述情障碍、愤怒和心理困扰:一项病例对照研究。

Alexithymia, anger and psychological distress in patients with myofascial pain: a case-control study.

机构信息

Department of Psychology, University of Turin Turin, Italy.

出版信息

Front Psychol. 2013 Jul 31;4:490. doi: 10.3389/fpsyg.2013.00490. eCollection 2013.

Abstract

AIMS

The aim of this study was to investigate psychological distress, anger and alexithymia in a group of patients affected by myofascial pain (MP) in the facial region.

METHODS

45 MP patients [mean (SD) age: 38.9 (11.6)] and 45 female healthy controls [mean (SD) age: 37.8 (13.7)] were assessed medically and psychologically. The medically evaluation consisted of muscle palpation of the pericranial and cervical muscles. The psychological evaluation included the assessment of depression (Beck Depression Inventory-short form), anxiety [State-Trait Anxiety Inventory Form Y (STAI-Y)], emotional distress [Distress Thermometer (DT)], anger [State-Trait Anger Expression Inventory-2 (STAXI-2)], and alexithymia [Toronto Alexithymia Scale (TAS)].

RESULTS

the MP patients showed significantly higher scores in the depression, anxiety and emotional distress inventories. With regard to anger, only the Anger Expression-In scale showed a significant difference between the groups, with higher scores for the MP patients. In addition, the MP patients showed significantly higher alexithymic scores, in particular in the Difficulty in identifying feelings (F1) subscale of the TAS-20. Alexithymia was positively correlated with the Anger Expression-In scale. Both anger and alexithymia showed significant positive correlations with anxiety scores, but only anger was positively correlated with depression.

CONCLUSION

A higher prevalence of depressive and anxiety symptoms associated with a higher prevalence of alexithymia and expression-in modality to cope with anger was found in the MP patients. Because the presence of such psychological aspects could contribute to generate or exacerbate the suffering of these patients, our results highlight the need to include accurate investigation of psychological aspects in MP patients in normal clinical practice in order to allow clinicians to carry out more efficacious management and treatment strategies.

摘要

目的

本研究旨在调查一组面部肌筋膜疼痛(MP)患者的心理困扰、愤怒和述情障碍。

方法

对 45 名 MP 患者(平均年龄(标准差):38.9(11.6)岁)和 45 名女性健康对照者(平均年龄(标准差):37.8(13.7)岁)进行医学和心理学评估。医学评估包括颅周和颈肌的肌肉触诊。心理评估包括抑郁评估(贝克抑郁量表-短式)、焦虑评估[状态-特质焦虑量表 Y 型(STAI-Y)]、情绪困扰评估[困扰温度计(DT)]、愤怒评估[状态-特质愤怒表达量表-2 型(STAXI-2)]和述情障碍评估[多伦多述情障碍量表(TAS)]。

结果

MP 患者在抑郁、焦虑和情绪困扰量表上的得分明显较高。关于愤怒,只有愤怒表达-内量表在两组之间显示出显著差异,MP 患者的得分更高。此外,MP 患者表现出明显更高的述情障碍评分,特别是在 TAS-20 的 F1 子量表上。述情障碍与愤怒表达-内量表呈正相关。愤怒和述情障碍与焦虑评分均呈显著正相关,但只有愤怒与抑郁呈正相关。

结论

在 MP 患者中发现了更高的抑郁和焦虑症状发生率,同时伴有更高的述情障碍和表达愤怒的倾向。由于这些心理方面的存在可能会导致或加重这些患者的痛苦,因此我们的研究结果强调了在正常临床实践中需要对 MP 患者进行准确的心理方面调查,以便临床医生能够实施更有效的管理和治疗策略。

相似文献

3
Alexithymia Is Associated with Tinnitus Severity.述情障碍与耳鸣严重程度相关。
Front Psychiatry. 2017 Nov 6;8:223. doi: 10.3389/fpsyt.2017.00223. eCollection 2017.
4
[Somatic symptoms of depression].[抑郁症的躯体症状]
Turk Psikiyatri Derg. 2005 Summer;16(2):90-6.
6
Alexithymia and anger in patients with fibromyalgia.纤维肌痛患者的述情障碍与愤怒
Clin Rheumatol. 2004 Oct;23(5):441-8. doi: 10.1007/s10067-004-0918-3. Epub 2004 Jun 30.
7
[Alexithymia and links with depression and anxiety in multiple sclerosis].[述情障碍与多发性硬化症中抑郁和焦虑的关联]
Rev Neurol (Paris). 2008 Mar;164(3):242-5. doi: 10.1016/j.neurol.2007.09.006. Epub 2008 Feb 15.

引用本文的文献

本文引用的文献

3
The role of anger in generalized anxiety disorder.愤怒在广泛性焦虑障碍中的作用。
Cogn Behav Ther. 2012;41(3):261-71. doi: 10.1080/16506073.2012.666564. Epub 2012 Mar 19.
4
Type D personality and Alexithymia among psychiatric outpatients.精神科门诊患者中的D型人格与述情障碍
Psychother Psychosom. 2012;81(2):118-20. doi: 10.1159/000330215. Epub 2012 Feb 2.
5
Cognitive dimensions of anger in chronic pain.慢性疼痛中愤怒的认知维度。
Pain. 2012 Mar;153(3):515-517. doi: 10.1016/j.pain.2011.10.023. Epub 2011 Dec 2.
7
Is alexithymia associated with specific mental disorders?述情障碍是否与特定的精神障碍有关?
Psychopathology. 2012;45(1):22-8. doi: 10.1159/000325170. Epub 2011 Nov 28.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验